# 搭建神经网络
import torch
from torch import nn


class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        self.model1 = nn.Sequential(
            nn.Conv2d(3, 32, kernel_size=5, stride=1, padding=2),
            nn.MaxPool2d(2),
            nn.Conv2d(32, 32, kernel_size=5, stride=1, padding=2),
            nn.MaxPool2d(2),
            nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
            nn.MaxPool2d(2),
            nn.Flatten(),
            nn.Linear(64 * 4 * 4, 64),
            nn.Linear(64, 10),
        )

    def forward(self, x):
        x = self.model1(x)
        return x

if __name__ == '__main__':
    tudui = Tudui()
    input = torch.ones(64, 3, 32, 32)
    output = tudui(input)
    print(output.shape)